{"abstract":"Downgrades take effect immediately without credit, cutting service mid-period.","category":"Subscription proration billing","checks":8,"contract":"Input {cur, new, left, period, pending scheduled price|None}. Upgrade (new > cur): charge (new-cur)*left/period half-up now, switch immediately and clear any scheduled change. Downgrade: no charge, keep cur, schedule new (replacing any pending). Same price: no charge and clear the schedule. Return [charge, active_price, scheduled].","evaluation_group":"w2-subscription-proration-upgrade-now-downgrade-later","failed_approach":"The attempt schedules it but lets an older pending change win.","family":"w2-subscription-proration-upgrade-now-downgrade-later-downgrade-deferral","id":"FA-59676","implementations":{"attempt":{"sha256":"091addbc03a10326ad1242d83091c647e2b72a5d12a32f66101bad8d0f22ea3b","source":"\"\"\"Failure Map reference implementation. Python standard library only.\"\"\"\nimport json\n\nN = 1\nobservations = []\ndef solve(x):\n    if x['new'] > x['cur']:\n        ch = ((x['new'] - x['cur']) * x['left'] * 2 + x['period']) // (2 * x['period'])\n        return [ch, x['new'], None]\n    if x['new'] < x['cur']:\n        return [0, x['cur'], x['pending'] or x['new']]\n    return [0, x['cur'], None]\ndef check(label, actual, expected):\n    observations.append({\"check\": label, \"actual\": actual, \"expected\": expected, \"passed\": actual == expected})\nfixtures = [[('regression', {'cur': 5000, 'new': 1000, 'left': 28, 'period': 31, 'pending': 500}, [0, 5000, 1000]), ('regression', {'cur': 5000, 'new': 1000, 'left': 14, 'period': 30, 'pending': 1000}, [0, 5000, 1000]), ('partial-repair probe', {'cur': 5000, 'new': 1000, 'left': 16, 'period': 31, 'pending': 500}, [0, 5000, 1000]), ('partial-repair probe', {'cur': 5000, 'new': 2000, 'left': 30, 'period': 30, 'pending': 1000}, [0, 5000, 2000]), ('normal control', {'cur': 5000, 'new': 7500, 'left': 20, 'period': 30, 'pending': None}, [1667, 7500, None]), ('normal control', {'cur': 5000, 'new': 7500, 'left': 5, 'period': 30, 'pending': None}, [417, 7500, None]), ('normal control', {'cur': 2000, 'new': 5000, 'left': 21, 'period': 30, 'pending': None}, [2100, 5000, None]), ('normal control', {'cur': 1000, 'new': 1000, 'left': 21, 'period': 31, 'pending': None}, [0, 1000, None])], [('regression', {'cur': 5000, 'new': 1000, 'left': 16, 'period': 31, 'pending': 500}, [0, 5000, 1000]), ('regression', {'cur': 5000, 'new': 1000, 'left': 14, 'period': 30, 'pending': 1000}, [0, 5000, 1000]), ('partial-repair probe', {'cur': 5000, 'new': 2000, 'left': 30, 'period': 30, 'pending': 1000}, [0, 5000, 2000]), ('partial-repair probe', {'cur': 2000, 'new': 1000, 'left': 252, 'period': 365, 'pending': 500}, [0, 2000, 1000]), ('normal control', {'cur': 2000, 'new': 2000, 'left': 220, 'period': 365, 'pending': None}, [0, 2000, None]), ('normal control', {'cur': 5000, 'new': 5000, 'left': 26, 'period': 31, 'pending': 1000}, [0, 5000, None]), ('normal control', {'cur': 2000, 'new': 5000, 'left': 24, 'period': 30, 'pending': None}, [2400, 5000, None]), ('normal control', {'cur': 1000, 'new': 1000, 'left': 13, 'period': 30, 'pending': None}, [0, 1000, None])], [('regression', {'cur': 5000, 'new': 2000, 'left': 30, 'period': 30, 'pending': 1000}, [0, 5000, 2000]), ('regression', {'cur': 5000, 'new': 1000, 'left': 16, 'period': 31, 'pending': 500}, [0, 5000, 1000]), ('partial-repair probe', {'cur': 5000, 'new': 1000, 'left': 25, 'period': 31, 'pending': 2000}, [0, 5000, 1000]), ('partial-repair probe', {'cur': 5000, 'new': 2000, 'left': 11, 'period': 31, 'pending': 500}, [0, 5000, 2000]), ('normal control', {'cur': 1000, 'new': 2000, 'left': 17, 'period': 30, 'pending': 2000}, [567, 2000, None]), ('normal control', {'cur': 1000, 'new': 2000, 'left': 272, 'period': 365, 'pending': 500}, [745, 2000, None]), ('normal control', {'cur': 1000, 'new': 2000, 'left': 1, 'period': 30, 'pending': 2000}, [33, 2000, None]), ('normal control', {'cur': 1000, 'new': 5000, 'left': 29, 'period': 30, 'pending': 1000}, [3867, 5000, None])], [('regression', {'cur': 2000, 'new': 1000, 'left': 252, 'period': 365, 'pending': 500}, [0, 2000, 1000]), ('regression', {'cur': 2000, 'new': 1000, 'left': 1, 'period': 31, 'pending': 1000}, [0, 2000, 1000]), ('partial-repair probe', {'cur': 5000, 'new': 1000, 'left': 11, 'period': 31, 'pending': 500}, [0, 5000, 1000]), ('partial-repair probe', {'cur': 2000, 'new': 1000, 'left': 7, 'period': 31, 'pending': 500}, [0, 2000, 1000]), ('normal control', {'cur': 5000, 'new': 5000, 'left': 25, 'period': 31, 'pending': 2000}, [0, 5000, None]), ('normal control', {'cur': 2000, 'new': 5000, 'left': 139, 'period': 365, 'pending': None}, [1142, 5000, None]), ('normal control', {'cur': 1000, 'new': 2000, 'left': 39, 'period': 365, 'pending': 2000}, [107, 2000, None]), ('normal control', {'cur': 1000, 'new': 1000, 'left': 20, 'period': 31, 'pending': 2000}, [0, 1000, None])], [('regression', {'cur': 5000, 'new': 1000, 'left': 25, 'period': 31, 'pending': 2000}, [0, 5000, 1000]), ('regression', {'cur': 5000, 'new': 2000, 'left': 30, 'period': 30, 'pending': 1000}, [0, 5000, 2000]), ('partial-repair probe', {'cur': 5000, 'new': 1000, 'left': 164, 'period': 365, 'pending': 2000}, [0, 5000, 1000]), ('partial-repair probe', {'cur': 2000, 'new': 1000, 'left': 31, 'period': 31, 'pending': 500}, [0, 2000, 1000]), ('normal control', {'cur': 5000, 'new': 5000, 'left': 24, 'period': 31, 'pending': None}, [0, 5000, None]), ('normal control', {'cur': 2000, 'new': 2000, 'left': 21, 'period': 30, 'pending': None}, [0, 2000, None]), ('normal control', {'cur': 1000, 'new': 5000, 'left': 9, 'period': 365, 'pending': 500}, [99, 5000, None]), ('normal control', {'cur': 2000, 'new': 7500, 'left': 2, 'period': 31, 'pending': None}, [355, 7500, None])]]\nfor i, (label, args, expected) in enumerate(fixtures[N-1]):\n    check(\"%s %d\" % (label, i), solve(args), expected)\nprint(json.dumps({\"observations\": observations, \"passed\": all(x[\"passed\"] for x in observations)}, ensure_ascii=False))\nraise SystemExit(0 if all(x[\"passed\"] for x in observations) else 1)\n"},"broken":{"sha256":"d973b556aa9d1489438a6247776a2019a0f497054ec2dcf21335450ccce1d8f8","source":"\"\"\"Failure Map reference implementation. Python standard library only.\"\"\"\nimport json\n\nN = 1\nobservations = []\ndef solve(x):\n    if x['new'] > x['cur']:\n        ch = ((x['new'] - x['cur']) * x['left'] * 2 + x['period']) // (2 * x['period'])\n        return [ch, x['new'], None]\n    if x['new'] < x['cur']:\n        return [0, x['new'], None]\n    return [0, x['cur'], None]\ndef check(label, actual, expected):\n    observations.append({\"check\": label, \"actual\": actual, \"expected\": expected, \"passed\": actual == expected})\nfixtures = [[('regression', {'cur': 5000, 'new': 1000, 'left': 28, 'period': 31, 'pending': 500}, [0, 5000, 1000]), ('regression', {'cur': 5000, 'new': 1000, 'left': 14, 'period': 30, 'pending': 1000}, [0, 5000, 1000]), ('partial-repair probe', {'cur': 5000, 'new': 1000, 'left': 16, 'period': 31, 'pending': 500}, [0, 5000, 1000]), ('partial-repair probe', {'cur': 5000, 'new': 2000, 'left': 30, 'period': 30, 'pending': 1000}, [0, 5000, 2000]), ('normal control', {'cur': 5000, 'new': 7500, 'left': 20, 'period': 30, 'pending': None}, [1667, 7500, None]), ('normal control', {'cur': 5000, 'new': 7500, 'left': 5, 'period': 30, 'pending': None}, [417, 7500, None]), ('normal control', {'cur': 2000, 'new': 5000, 'left': 21, 'period': 30, 'pending': None}, [2100, 5000, None]), ('normal control', {'cur': 1000, 'new': 1000, 'left': 21, 'period': 31, 'pending': None}, [0, 1000, None])], [('regression', {'cur': 5000, 'new': 1000, 'left': 16, 'period': 31, 'pending': 500}, [0, 5000, 1000]), ('regression', {'cur': 5000, 'new': 1000, 'left': 14, 'period': 30, 'pending': 1000}, [0, 5000, 1000]), ('partial-repair probe', {'cur': 5000, 'new': 2000, 'left': 30, 'period': 30, 'pending': 1000}, [0, 5000, 2000]), ('partial-repair probe', {'cur': 2000, 'new': 1000, 'left': 252, 'period': 365, 'pending': 500}, [0, 2000, 1000]), ('normal control', {'cur': 2000, 'new': 2000, 'left': 220, 'period': 365, 'pending': None}, [0, 2000, None]), ('normal control', {'cur': 5000, 'new': 5000, 'left': 26, 'period': 31, 'pending': 1000}, [0, 5000, None]), ('normal control', {'cur': 2000, 'new': 5000, 'left': 24, 'period': 30, 'pending': None}, [2400, 5000, None]), ('normal control', {'cur': 1000, 'new': 1000, 'left': 13, 'period': 30, 'pending': None}, [0, 1000, None])], [('regression', {'cur': 5000, 'new': 2000, 'left': 30, 'period': 30, 'pending': 1000}, [0, 5000, 2000]), ('regression', {'cur': 5000, 'new': 1000, 'left': 16, 'period': 31, 'pending': 500}, [0, 5000, 1000]), ('partial-repair probe', {'cur': 5000, 'new': 1000, 'left': 25, 'period': 31, 'pending': 2000}, [0, 5000, 1000]), ('partial-repair probe', {'cur': 5000, 'new': 2000, 'left': 11, 'period': 31, 'pending': 500}, [0, 5000, 2000]), ('normal control', {'cur': 1000, 'new': 2000, 'left': 17, 'period': 30, 'pending': 2000}, [567, 2000, None]), ('normal control', {'cur': 1000, 'new': 2000, 'left': 272, 'period': 365, 'pending': 500}, [745, 2000, None]), ('normal control', {'cur': 1000, 'new': 2000, 'left': 1, 'period': 30, 'pending': 2000}, [33, 2000, None]), ('normal control', {'cur': 1000, 'new': 5000, 'left': 29, 'period': 30, 'pending': 1000}, [3867, 5000, None])], [('regression', {'cur': 2000, 'new': 1000, 'left': 252, 'period': 365, 'pending': 500}, [0, 2000, 1000]), ('regression', {'cur': 2000, 'new': 1000, 'left': 1, 'period': 31, 'pending': 1000}, [0, 2000, 1000]), ('partial-repair probe', {'cur': 5000, 'new': 1000, 'left': 11, 'period': 31, 'pending': 500}, [0, 5000, 1000]), ('partial-repair probe', {'cur': 2000, 'new': 1000, 'left': 7, 'period': 31, 'pending': 500}, [0, 2000, 1000]), ('normal control', {'cur': 5000, 'new': 5000, 'left': 25, 'period': 31, 'pending': 2000}, [0, 5000, None]), ('normal control', {'cur': 2000, 'new': 5000, 'left': 139, 'period': 365, 'pending': None}, [1142, 5000, None]), ('normal control', {'cur': 1000, 'new': 2000, 'left': 39, 'period': 365, 'pending': 2000}, [107, 2000, None]), ('normal control', {'cur': 1000, 'new': 1000, 'left': 20, 'period': 31, 'pending': 2000}, [0, 1000, None])], [('regression', {'cur': 5000, 'new': 1000, 'left': 25, 'period': 31, 'pending': 2000}, [0, 5000, 1000]), ('regression', {'cur': 5000, 'new': 2000, 'left': 30, 'period': 30, 'pending': 1000}, [0, 5000, 2000]), ('partial-repair probe', {'cur': 5000, 'new': 1000, 'left': 164, 'period': 365, 'pending': 2000}, [0, 5000, 1000]), ('partial-repair probe', {'cur': 2000, 'new': 1000, 'left': 31, 'period': 31, 'pending': 500}, [0, 2000, 1000]), ('normal control', {'cur': 5000, 'new': 5000, 'left': 24, 'period': 31, 'pending': None}, [0, 5000, None]), ('normal control', {'cur': 2000, 'new': 2000, 'left': 21, 'period': 30, 'pending': None}, [0, 2000, None]), ('normal control', {'cur': 1000, 'new': 5000, 'left': 9, 'period': 365, 'pending': 500}, [99, 5000, None]), ('normal control', {'cur': 2000, 'new': 7500, 'left': 2, 'period': 31, 'pending': None}, [355, 7500, None])]]\nfor i, (label, args, expected) in enumerate(fixtures[N-1]):\n    check(\"%s %d\" % (label, i), solve(args), expected)\nprint(json.dumps({\"observations\": observations, \"passed\": all(x[\"passed\"] for x in observations)}, ensure_ascii=False))\nraise SystemExit(0 if all(x[\"passed\"] for x in observations) else 1)\n"},"fixed":{"sha256":"628c07df8d9b8b2f05e4927ab3e1e4f4e7bbaaac8e103fc332976d7cd7082baa","source":"\"\"\"Failure Map reference implementation. Python standard library only.\"\"\"\nimport json\n\nN = 1\nobservations = []\ndef solve(x):\n    if x['new'] > x['cur']:\n        ch = ((x['new'] - x['cur']) * x['left'] * 2 + x['period']) // (2 * x['period'])\n        return [ch, x['new'], None]\n    if x['new'] < x['cur']:\n        return [0, x['cur'], x['new']]\n    return [0, x['cur'], None]\ndef check(label, actual, expected):\n    observations.append({\"check\": label, \"actual\": actual, \"expected\": expected, \"passed\": actual == expected})\nfixtures = [[('regression', {'cur': 5000, 'new': 1000, 'left': 28, 'period': 31, 'pending': 500}, [0, 5000, 1000]), ('regression', {'cur': 5000, 'new': 1000, 'left': 14, 'period': 30, 'pending': 1000}, [0, 5000, 1000]), ('partial-repair probe', {'cur': 5000, 'new': 1000, 'left': 16, 'period': 31, 'pending': 500}, [0, 5000, 1000]), ('partial-repair probe', {'cur': 5000, 'new': 2000, 'left': 30, 'period': 30, 'pending': 1000}, [0, 5000, 2000]), ('normal control', {'cur': 5000, 'new': 7500, 'left': 20, 'period': 30, 'pending': None}, [1667, 7500, None]), ('normal control', {'cur': 5000, 'new': 7500, 'left': 5, 'period': 30, 'pending': None}, [417, 7500, None]), ('normal control', {'cur': 2000, 'new': 5000, 'left': 21, 'period': 30, 'pending': None}, [2100, 5000, None]), ('normal control', {'cur': 1000, 'new': 1000, 'left': 21, 'period': 31, 'pending': None}, [0, 1000, None])], [('regression', {'cur': 5000, 'new': 1000, 'left': 16, 'period': 31, 'pending': 500}, [0, 5000, 1000]), ('regression', {'cur': 5000, 'new': 1000, 'left': 14, 'period': 30, 'pending': 1000}, [0, 5000, 1000]), ('partial-repair probe', {'cur': 5000, 'new': 2000, 'left': 30, 'period': 30, 'pending': 1000}, [0, 5000, 2000]), ('partial-repair probe', {'cur': 2000, 'new': 1000, 'left': 252, 'period': 365, 'pending': 500}, [0, 2000, 1000]), ('normal control', {'cur': 2000, 'new': 2000, 'left': 220, 'period': 365, 'pending': None}, [0, 2000, None]), ('normal control', {'cur': 5000, 'new': 5000, 'left': 26, 'period': 31, 'pending': 1000}, [0, 5000, None]), ('normal control', {'cur': 2000, 'new': 5000, 'left': 24, 'period': 30, 'pending': None}, [2400, 5000, None]), ('normal control', {'cur': 1000, 'new': 1000, 'left': 13, 'period': 30, 'pending': None}, [0, 1000, None])], [('regression', {'cur': 5000, 'new': 2000, 'left': 30, 'period': 30, 'pending': 1000}, [0, 5000, 2000]), ('regression', {'cur': 5000, 'new': 1000, 'left': 16, 'period': 31, 'pending': 500}, [0, 5000, 1000]), ('partial-repair probe', {'cur': 5000, 'new': 1000, 'left': 25, 'period': 31, 'pending': 2000}, [0, 5000, 1000]), ('partial-repair probe', {'cur': 5000, 'new': 2000, 'left': 11, 'period': 31, 'pending': 500}, [0, 5000, 2000]), ('normal control', {'cur': 1000, 'new': 2000, 'left': 17, 'period': 30, 'pending': 2000}, [567, 2000, None]), ('normal control', {'cur': 1000, 'new': 2000, 'left': 272, 'period': 365, 'pending': 500}, [745, 2000, None]), ('normal control', {'cur': 1000, 'new': 2000, 'left': 1, 'period': 30, 'pending': 2000}, [33, 2000, None]), ('normal control', {'cur': 1000, 'new': 5000, 'left': 29, 'period': 30, 'pending': 1000}, [3867, 5000, None])], [('regression', {'cur': 2000, 'new': 1000, 'left': 252, 'period': 365, 'pending': 500}, [0, 2000, 1000]), ('regression', {'cur': 2000, 'new': 1000, 'left': 1, 'period': 31, 'pending': 1000}, [0, 2000, 1000]), ('partial-repair probe', {'cur': 5000, 'new': 1000, 'left': 11, 'period': 31, 'pending': 500}, [0, 5000, 1000]), ('partial-repair probe', {'cur': 2000, 'new': 1000, 'left': 7, 'period': 31, 'pending': 500}, [0, 2000, 1000]), ('normal control', {'cur': 5000, 'new': 5000, 'left': 25, 'period': 31, 'pending': 2000}, [0, 5000, None]), ('normal control', {'cur': 2000, 'new': 5000, 'left': 139, 'period': 365, 'pending': None}, [1142, 5000, None]), ('normal control', {'cur': 1000, 'new': 2000, 'left': 39, 'period': 365, 'pending': 2000}, [107, 2000, None]), ('normal control', {'cur': 1000, 'new': 1000, 'left': 20, 'period': 31, 'pending': 2000}, [0, 1000, None])], [('regression', {'cur': 5000, 'new': 1000, 'left': 25, 'period': 31, 'pending': 2000}, [0, 5000, 1000]), ('regression', {'cur': 5000, 'new': 2000, 'left': 30, 'period': 30, 'pending': 1000}, [0, 5000, 2000]), ('partial-repair probe', {'cur': 5000, 'new': 1000, 'left': 164, 'period': 365, 'pending': 2000}, [0, 5000, 1000]), ('partial-repair probe', {'cur': 2000, 'new': 1000, 'left': 31, 'period': 31, 'pending': 500}, [0, 2000, 1000]), ('normal control', {'cur': 5000, 'new': 5000, 'left': 24, 'period': 31, 'pending': None}, [0, 5000, None]), ('normal control', {'cur': 2000, 'new': 2000, 'left': 21, 'period': 30, 'pending': None}, [0, 2000, None]), ('normal control', {'cur': 1000, 'new': 5000, 'left': 9, 'period': 365, 'pending': 500}, [99, 5000, None]), ('normal control', {'cur': 2000, 'new': 7500, 'left': 2, 'period': 31, 'pending': None}, [355, 7500, None])]]\nfor i, (label, args, expected) in enumerate(fixtures[N-1]):\n    check(\"%s %d\" % (label, i), solve(args), expected)\nprint(json.dumps({\"observations\": observations, \"passed\": all(x[\"passed\"] for x in observations)}, ensure_ascii=False))\nraise SystemExit(0 if all(x[\"passed\"] for x in observations) else 1)\n"}},"limitations":"A deterministic teaching model of a stipulated billing rule. It makes no claim to reproduce any billing provider's exact behaviour and is not billing software. This reproducer isolates one failure mechanism. Results cover the supplied fixtures. Variants within a family share a test contract and should remain grouped when constructing evaluation splits. Related mechanisms with a shared evaluation_group must also remain together; these controlled models are not independent production incidents.","method":"Deterministic executable model with adversarial boundary fixtures.","provenance":{"created_by":"Failure Map","dependencies":"Python standard library","family":"w2-subscription-proration-upgrade-now-downgrade-later-downgrade-deferral","generated_at":"2026-09-29T14:46:38.486148+00:00","license":"CC0-1.0","python":"3.12.14","seed":1,"split":"open-access"},"relevance":"Asymmetric upgrade/downgrade policies must not let a stale scheduled downgrade override an upgrade.","repair":"Restore the contract rule at the downgrade deferral step: use `return [0, x['cur'], x['new']]`.","root_cause":"The downgrade is applied now instead of being scheduled for renewal.","sha256":"6cec9c715a8f8f072c723c4dca16e1e6b13d7668a95d7f350902ee6bf9443614","title":"Immediate upgrades and scheduled downgrades: downgrade deferral · case 01","variant":1,"variant_policy":"Five numbered records share a model and may reuse boundary fixtures.","verification":{"attempt":{"elapsed_ms":39.71,"exit_code":1,"observations":[{"actual":[0,5000,500],"check":"regression 0","expected":[0,5000,1000],"passed":false},{"actual":[0,5000,1000],"check":"regression 1","expected":[0,5000,1000],"passed":true},{"actual":[0,5000,500],"check":"partial-repair probe 2","expected":[0,5000,1000],"passed":false},{"actual":[0,5000,1000],"check":"partial-repair probe 3","expected":[0,5000,2000],"passed":false},{"actual":[1667,7500,null],"check":"normal control 4","expected":[1667,7500,null],"passed":true},{"actual":[417,7500,null],"check":"normal control 5","expected":[417,7500,null],"passed":true},{"actual":[2100,5000,null],"check":"normal control 6","expected":[2100,5000,null],"passed":true},{"actual":[0,1000,null],"check":"normal control 7","expected":[0,1000,null],"passed":true}],"passed":false,"stderr":"","stdout":"{\"observations\": [{\"check\": \"regression 0\", \"actual\": [0, 5000, 500], \"expected\": [0, 5000, 1000], \"passed\": false}, {\"check\": \"regression 1\", \"actual\": [0, 5000, 1000], \"expected\": [0, 5000, 1000], \"passed\": true}, {\"check\": \"partial-repair probe 2\", \"actual\": [0, 5000, 500], \"expected\": [0, 5000, 1000], \"passed\": false}, {\"check\": \"partial-repair probe 3\", \"actual\": [0, 5000, 1000], \"expected\": [0, 5000, 2000], \"passed\": false}, {\"check\": \"normal control 4\", \"actual\": [1667, 7500, null], \"expected\": [1667, 7500, null], \"passed\": true}, {\"check\": \"normal control 5\", \"actual\": [417, 7500, null], \"expected\": [417, 7500, null], \"passed\": true}, {\"check\": \"normal control 6\", \"actual\": [2100, 5000, null], \"expected\": [2100, 5000, null], \"passed\": true}, {\"check\": \"normal control 7\", \"actual\": [0, 1000, null], \"expected\": [0, 1000, null], \"passed\": true}], \"passed\": false}\n"},"broken":{"elapsed_ms":42.539,"exit_code":1,"observations":[{"actual":[0,1000,null],"check":"regression 0","expected":[0,5000,1000],"passed":false},{"actual":[0,1000,null],"check":"regression 1","expected":[0,5000,1000],"passed":false},{"actual":[0,1000,null],"check":"partial-repair probe 2","expected":[0,5000,1000],"passed":false},{"actual":[0,2000,null],"check":"partial-repair probe 3","expected":[0,5000,2000],"passed":false},{"actual":[1667,7500,null],"check":"normal control 4","expected":[1667,7500,null],"passed":true},{"actual":[417,7500,null],"check":"normal control 5","expected":[417,7500,null],"passed":true},{"actual":[2100,5000,null],"check":"normal control 6","expected":[2100,5000,null],"passed":true},{"actual":[0,1000,null],"check":"normal control 7","expected":[0,1000,null],"passed":true}],"passed":false,"stderr":"","stdout":"{\"observations\": [{\"check\": \"regression 0\", \"actual\": [0, 1000, null], \"expected\": [0, 5000, 1000], \"passed\": false}, {\"check\": \"regression 1\", \"actual\": [0, 1000, null], \"expected\": [0, 5000, 1000], \"passed\": false}, {\"check\": \"partial-repair probe 2\", \"actual\": [0, 1000, null], \"expected\": [0, 5000, 1000], \"passed\": false}, {\"check\": \"partial-repair probe 3\", \"actual\": [0, 2000, null], \"expected\": [0, 5000, 2000], \"passed\": false}, {\"check\": \"normal control 4\", \"actual\": [1667, 7500, null], \"expected\": [1667, 7500, null], \"passed\": true}, {\"check\": \"normal control 5\", \"actual\": [417, 7500, null], \"expected\": [417, 7500, null], \"passed\": true}, {\"check\": \"normal control 6\", \"actual\": [2100, 5000, null], \"expected\": [2100, 5000, null], \"passed\": true}, {\"check\": \"normal control 7\", \"actual\": [0, 1000, null], \"expected\": [0, 1000, null], \"passed\": true}], \"passed\": false}\n"},"fixed":{"elapsed_ms":39.743,"exit_code":0,"observations":[{"actual":[0,5000,1000],"check":"regression 0","expected":[0,5000,1000],"passed":true},{"actual":[0,5000,1000],"check":"regression 1","expected":[0,5000,1000],"passed":true},{"actual":[0,5000,1000],"check":"partial-repair probe 2","expected":[0,5000,1000],"passed":true},{"actual":[0,5000,2000],"check":"partial-repair probe 3","expected":[0,5000,2000],"passed":true},{"actual":[1667,7500,null],"check":"normal control 4","expected":[1667,7500,null],"passed":true},{"actual":[417,7500,null],"check":"normal control 5","expected":[417,7500,null],"passed":true},{"actual":[2100,5000,null],"check":"normal control 6","expected":[2100,5000,null],"passed":true},{"actual":[0,1000,null],"check":"normal control 7","expected":[0,1000,null],"passed":true}],"passed":true,"stderr":"","stdout":"{\"observations\": [{\"check\": \"regression 0\", \"actual\": [0, 5000, 1000], \"expected\": [0, 5000, 1000], \"passed\": true}, {\"check\": \"regression 1\", \"actual\": [0, 5000, 1000], \"expected\": [0, 5000, 1000], \"passed\": true}, {\"check\": \"partial-repair probe 2\", \"actual\": [0, 5000, 1000], \"expected\": [0, 5000, 1000], \"passed\": true}, {\"check\": \"partial-repair probe 3\", \"actual\": [0, 5000, 2000], \"expected\": [0, 5000, 2000], \"passed\": true}, {\"check\": \"normal control 4\", \"actual\": [1667, 7500, null], \"expected\": [1667, 7500, null], \"passed\": true}, {\"check\": \"normal control 5\", \"actual\": [417, 7500, null], \"expected\": [417, 7500, null], \"passed\": true}, {\"check\": \"normal control 6\", \"actual\": [2100, 5000, null], \"expected\": [2100, 5000, null], \"passed\": true}, {\"check\": \"normal control 7\", \"actual\": [0, 1000, null], \"expected\": [0, 1000, null], \"passed\": true}], \"passed\": true}\n"}},"verified":true,"visibility":"public"}